mcpField
D
DevRev MCP server

DevRev MCP server

Local
github.com/kpsunil97Business & Marketing3Updated 97w ago

About DevRev MCP server

DevRev MCP server connects MCP clients to DevRev APIs for searching information and retrieving objects by ID. It is intended for workflows that need access to DevRev data.

Key features

  1. 01Search DevRev information by query and namespace
  2. 02Retrieve a DevRev object by ID

Use cases

  1. 01Find information in DevRev using a search query
  2. 02Fetch the details of a known DevRev object

MCP support

It exposes DevRev search and object-retrieval tools to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"devrev": {
"command": "uvx",
"args": [
"devrev-mcp"
],
"env": {
"DEVREV_API_KEY": "<DEVREV_API_KEY>"
}
}
}
}
Run commanduvx devrev-mcp
Environment variables to set
DEVREV_API_KEYSecret

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypidevrev-mcp

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

DevRev MCP server

Overview

A Model Context Protocol server for DevRev. It is used to search and retrieve information using the DevRev APIs.

Tools

  • search: Search for information using the DevRev search API with the provided query and namespace.
  • get_object: Get all information about a DevRev object using its ID.

Configuration

Get the DevRev API key
  1. Go to https://app.devrev.ai/signup and create an account.
  2. Import your data from your existing data sources like Salesforce, Zendesk while following the instructions here.
  3. Generate an access token while following the instructions here.
Usage with Claude Desktop

On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json

On Windows: %APPDATA%/Claude/claude_desktop_config.json

Published Servers Configuration
"mcpServers": {
  "devrev": {
    "command": "uvx",
    "args": [
      "devrev-mcp"
    ],
    "env": {
      "DEVREV_API_KEY": "YOUR_DEVREV_API_KEY"
    }
  }
}
Development/Unpublished Servers Configuration
"mcpServers": {
  "devrev": {
    "command": "uv",  
    "args": [
      "--directory",
      "Path to src/devrev_mcp directory",
      "run",
      "devrev-mcp"
    ],
    "env": {
      "DEVREV_API_KEY": "YOUR_DEVREV_API_KEY"
    }
  }
}

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.